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DHANA5982/README.md

🚀 DHANASEKAR GOVINDARAJ — Big Data Engineer | Cloud Data Engineer | Azure | AWS | Spark | SQL | Databricks | Snowflake

🎓 MSc in Data Science (University of Essex, UK) (Distinction)

🚀 Transitioning into Data Engineering | Skilled in Python, PySpark, SQL, Databricks, Azure, AWS

⚙️ Building scalable ETL pipelines and cloud data architectures

📊 Passionate about automation, orchestration, and real-time streaming

👀 What I’m All About

I’m driven by curiosity and a love for:

  • 🔍 Research & Implementation
  • 🔗 Integration & Best Practices
  • 🧠 Decision-making through data
  • 🧹 Clean, organized workflows that just work

Whether it’s deploying real-time pipelines or experimenting with GenAI agents, I bring precision, creativity, and a growth mindset to every project.

🌱 Currently Leveling Up In

  • 🧱 Databricks (Delta-Lake), Snowflake, Microsoft Fabric & Terraform data engineering, orchestration & infrastructure-as-code
  • 🔄 Kafka & Airflow real-time streaming, event-driven pipelines & DAG-based workflow scheduling
  • ☁️ Azure, GCP, AWS cloud deployment & computing
  • 🧠 GenAI & AgenticAI solutions (Gemini, LLaMA, and beyond)
  • 🧠 Image Processing & Decision Making

💞️ Let’s Collaborate On

  • 🤖 End-to-end Data Pipeline & Data Modeling & Lakehouse Architecture & Data Governance & Security
  • ⚙️ Real-time Streaming & Batch Processing & Workflow Orchestration
  • 📦 Automation & Cloud Integration
  • 🧪 Testing & Validation & CI/CD & Containerization & Monitoring & Deployment

📂 Featured Projects

🏗️ Big Data Engineering & 📡 Cloud Deployment

Snowflake-PowerBI Data Platform: Healthcare Data Solution (in progress)

Azure-Powered Data Lakehouse & ETL Pipeline: E-Commerce Data Solution

Streaming Data Integration with Kafka & Airflow: Healthcare - IoT Data Solution

Scalable Config-Driven Multi-Source ETL Pipeline: Supply Chain & Logistics Data Solution

🔬 Data Science

Customer Behavior Analysis, Churn Prediction & Customer Segmentation: E-Commerce Data Solution

Analysis & Prediction of Climate Events: El Niño & La Niña

Portfolio Optimization using Capital Asset Pricing Model & Quadratic Programming: Stock Market Solution

Analysis & Prediction of Renewable Energy: Solar & Wind Energy

🧠 AI, Reinforcement Learning, & Generative AI

YouTube Video Summarizer: Generative AI Solution (Google's Gemini)

Deep Q-Network Solution: Lunar Lander (Remote Sensing & Landing)

Reinforcement Agent using Bellman's Equation: Frozen Lake Solution

Reinforcement Agent using SARSA & Q-Learning: Connect X Solution

📊 Data Analyst

Automated Job Application Tracker: Power Automate & BI Solution (Private)

Adventure Works Sales Analysis: Interactive Power BI Dashboard & Report

Analysis of Ecological Data in the UK: Endangered Species

🎓 Certifications

📫 Let’s Connect

😄 Fun Facts

I love keeping things clean, organized, and joyful. Outside of tech, you’ll find me:

  • 🍳 Cooking
  • 💃 Dancing
  • 🎶 Vibing to music
  • 🧴 Practicing personal care & mindfulness

If you find my work helpful, feel free to ⭐ star the repositories and 🍴 fork them to explore or build your own versions!

Pinned Loading

  1. Azure-Powered-Data-Lakehouse-and-ETL-PipelineAzure-Powered-Data-Lakehouse-and-ETL-PipelinePublic

    End-to-end data pipeline transforming Olist e-commerce data through Azure cloud services. Implements medallion architecture (Bronze-Silver-Gold) with multi-source ingestion, Spark-based processing,…

    Jupyter Notebook 6

  2. Portfolio-Optimisation-CAPM-QP-Stock-Market-SolutionPortfolio-Optimisation-CAPM-QP-Stock-Market-SolutionPublic

    This project constructs an optimized portfolio for trading stocks using Capital Assets Pricing Model. Build by Quadratic Programming Techniques and apply constraints using Shape Ratio.

    Jupyter Notebook 1

  3. Scalable-Config-Driven-Multi-Source-ETL-PipelineScalable-Config-Driven-Multi-Source-ETL-PipelinePublic

    End-to-end data pipeline showcasing file ingestion, transformation, testing, and CI/CD deployment with Python, PostgreSQL, Docker, and GitHub Actions.

    Python 1

  4. Behavior-Analysis-Churn-Prediction-and-Customer-SegmentationBehavior-Analysis-Churn-Prediction-and-Customer-SegmentationPublic

    🚀 End-to-end ML project: 93% accurate churn prediction + customer segmentation with Random Forest & K-Means. Features automated pipeline, Streamlit dashboard, comprehensive testing, and cross-platf…

    Jupyter Notebook 2

  5. YouTube-Video-Summarizer-Generative-AI-SolutionYouTube-Video-Summarizer-Generative-AI-SolutionPublic

    A Streamlit web app that extracts transcripts from YouTube videos and generates concise summaries using Google Gemini Pro. Enter a YouTube link to get key points and detailed notes in seconds. Powe…

    Python 1

  6. Adventure-Works-Sales-Analysis-Power-BIAdventure-Works-Sales-Analysis-Power-BIPublic

    Power BI interactive dashboards using AdventureWorks datasets. Includes raw data, PBIX files, and visually compelling dashboards for business intelligence scenarios.

    1